# TinyTorch Module Metadata
# Essential system information for CLI tools and build systems

name: "optimizers"
title: "Optimizers"
description: "Gradient-based parameter optimization algorithms"

# Dependencies - Used by CLI for module ordering and prerequisites
dependencies:
  prerequisites: ["setup", "tensor", "autograd"]
  enables: ["training", "compression", "mlops"]

# Package Export - What gets built into tinytorch package
exports_to: "tinytorch.core.optimizers"

# File Structure - What files exist in this module
files:
  dev_file: "optimizers_dev.py"
  readme: "README.md"
  tests: "inline"

# Educational Metadata
difficulty: "⭐⭐⭐⭐"
time_estimate: "6-8 hours"

# Components - What's implemented in this module
components:
  - "SGD"
  - "Adam"
  - "StepLR"
  - "gradient_descent_step"